Daniel Cremers

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Jürgen SturmSenior Staff Software Engineering Manager at Intrinsic, an Alphabet companyDirección de correo verificada de jsturm.de
Thomas BroxUniversity of FreiburgDirección de correo verificada de cs.uni-freiburg.de
Vladimir GolkovTechnical University of MunichDirección de correo verificada de tum.de
Jakob EngelResearch Director, Meta Reality Labs ResearchDirección de correo verificada de meta.com
Laura Leal-TaixéSenior Research Manager at NVIDIA. Prev. Prof. TU MunichDirección de correo verificada de tum.de
Thomas PockProfessor of Computer Science, TU GrazDirección de correo verificada de icg.tugraz.at
Caner HazirbasMetaDirección de correo verificada de meta.com
Emanuele RodolàProfessor of Computer Science, Sapienza University of RomeDirección de correo verificada de di.uniroma1.it
Michael MoellerProfessor for Computer Vision, University of Siegen, GermanyDirección de correo verificada de uni-siegen.de
Vladyslav UsenkoApple, prev. TU MunichDirección de correo verificada de apple.com
Jörg StücklerUniversity of AugsburgDirección de correo verificada de uni-a.de
Rui Wang (王锐)Senior Research Scientist, MicrosoftDirección de correo verificada de microsoft.com
Christoph SchnörrProfessor of Mathematics and Computer Science, Heidelberg UniversityDirección de correo verificada de math.uni-heidelberg.de
Horst BischofGraz University of TechnologyDirección de correo verificada de icg.tugraz.at
Lukas von StumbergComputer Vision Software Engineer at Valve CorporationDirección de correo verificada de in.tum.de
Nikolaus DemmelPhD Student, Computer Vision Group, TUMDirección de correo verificada de in.tum.de
Christian KerlPhD Candidate, Computer Vision and Pattern Recognition Group, Technical University of MunichDirección de correo verificada de in.tum.de
Philip HaeusserCTO Ablacon, Inc. (now Cortex, Inc.)Dirección de correo verificada de ablacon.com
Wolfram BurgardProfessor of Computer Science, Technical University of NurembergDirección de correo verificada de utn.de
Thomas SchoenemannPostdoctoral Researcher, University of PisaDirección de correo verificada de di.unipi.it

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Daniel Cremers

Technical University of Munich

Dirección de correo verificada de tum.de - Página principal

Computer Vision Machine Learning Optimization Robotics


Título Ordenar por citas Ordenar por año Ordenar por título	Citado por Citado por	Año
LSD-SLAM: Large-scale direct monocular SLAM J Engel, T Schöps, D Cremers European conference on computer vision, 834-849, 2014	4844	2014
Flownet: Learning optical flow with convolutional networks A Dosovitskiy, P Fischer, E Ilg, P Hausser, C Hazirbas, V Golkov, ... Proceedings of the IEEE International Conference on Computer Vision, 2758-2766, 2015	4542	2015
Flownet: Learning optical flow with convolutional networks A Dosovitskiy, P Fischer, E Ilg, P Hausser, C Hazirbas, V Golkov, ... Proceedings of the IEEE International Conference on Computer Vision, 2758-2766, 2015	4542	2015
A benchmark for the evaluation of RGB-D SLAM systems J Sturm, N Engelhard, F Endres, W Burgard, D Cremers 2012 IEEE/RSJ international conference on intelligent robots and systems …, 2012	4205	2012
A large dataset to train convolutional networks for disparity, optical flow, and scene flow estimation N Mayer, E Ilg, P Hausser, P Fischer, D Cremers, A Dosovitskiy, T Brox Proceedings of the IEEE conference on computer vision and pattern …, 2016	3118	2016
Direct sparse odometry J Engel, V Koltun, D Cremers IEEE transactions on pattern analysis and machine intelligence 40 (3), 611-625, 2017	3105	2017
A review of statistical approaches to level set segmentation: integrating color, texture, motion and shape D Cremers, M Rousson, R Deriche International journal of computer vision 72, 195-215, 2007	1390	2007
Dense visual SLAM for RGB-D cameras C Kerl, J Sturm, D Cremers 2013 IEEE/RSJ International Conference on Intelligent Robots and Systems …, 2013	1153	2013
3-D mapping with an RGB-D camera F Endres, J Hess, J Sturm, D Cremers, W Burgard IEEE transactions on robotics 30 (1), 177-187, 2013	1129	2013
One-shot video object segmentation S Caelles, KK Maninis, J Pont-Tuset, L Leal-Taixé, D Cremers, ... Proceedings of the IEEE conference on computer vision and pattern …, 2017	1115	2017
An evaluation of the RGB-D SLAM system F Endres, J Hess, N Engelhard, J Sturm, D Cremers, W Burgard 2012 IEEE international conference on robotics and automation, 1691-1696, 2012	1046	2012
The wave kernel signature: A quantum mechanical approach to shape analysis M Aubry, U Schlickewei, D Cremers 2011 IEEE international conference on computer vision workshops (ICCV …, 2011	946	2011
Variational methods in imaging O Scherzer, M Grasmair, H Grossauer, M Haltmeier, F Lenzen Springer Science+ Business Media LLC, 2009	915	2009
Fusenet: Incorporating depth into semantic segmentation via fusion-based cnn architecture C Hazirbas, L Ma, C Domokos, D Cremers Computer Vision–ACCV 2016: 13th Asian Conference on Computer Vision, Taipei …, 2017	902	2017
Semi-dense visual odometry for a monocular camera J Engel, J Sturm, D Cremers Proceedings of the IEEE international conference on computer vision, 1449-1456, 2013	779	2013
Mot20: A benchmark for multi object tracking in crowded scenes P Dendorfer arXiv preprint arXiv:2003.09003, 2020	770	2020
Robust odometry estimation for RGB-D cameras C Kerl, J Sturm, D Cremers 2013 IEEE international conference on robotics and automation, 3748-3754, 2013	764	2013
Large-scale direct SLAM with stereo cameras J Engel, J Stückler, D Cremers 2015 IEEE/RSJ international conference on intelligent robots and systems …, 2015	753	2015
Flownet: Learning optical flow with convolutional networks P Fischer, A Dosovitskiy, E Ilg, P Häusser, C Hazırbaş, V Golkov, ... arXiv preprint arXiv:1504.06852, 2015	736	2015
An introduction to total variation for image analysis A Chambolle, V Caselles, D Cremers, M Novaga, T Pock Theoretical foundations and numerical methods for sparse recovery 9 (263-340 …, 2010	647	2010

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